Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback

被引：0

作者：

Wang, Honghong ^{[1
]}

Chen, Bing ^{[2
]}

Lin, Chong ^{[2
]}

Sun, Yumei ^{[3
]}

Ding, Junhang ^{[2
]}

机构：

[1] Qingdao Univ, Coll Elect Engn, Qingdao, Peoples R China

[2] Qingdao Univ, Inst Complex Sci, Qingdao, Peoples R China

[3] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Peoples R China

来源：

PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Large-scale nonlinear systems; decentralized adaptive control; fuzzy logical systems; observer; input saturation; TRACKING CONTROL; STABILIZATION;

D O I：

10.1109/ccdc.2019.8833327

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The decentralized adaptive control method is proposed for a class of large-scale uncertain nonlinear systems with unknown interconnections, unavailable states and input saturations. The observer is used to reconstruct the system states. The unknown nonlinearities can be identified by the fuzzy logical systems (FLSs). By applying a separation technique, the restrictions coming from unknown interconnections are relaxed. Combing adaptive method, Lyapunov stability theory and backstepping technique, decentralized output feedback controllers are proposed to stabilize the resulting interconnected systems. Finally, simulation results are given to illustrate the effectiveness of the presented approach.

引用

页码：1551 / 1557

页数：7

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